Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • Shoplogix Smart Factory Platform Reviews & Ratings
    19 Ratings
    Company Website
  • TRACTIAN Reviews & Ratings
    137 Ratings
    Company Website
  • Evocon Reviews & Ratings
    94 Ratings
    Company Website
  • Google Cloud BigQuery Reviews & Ratings
    2,018 Ratings
    Company Website
  • Epicor Connected Process Control Reviews & Ratings
    4 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,107 Ratings
    Company Website
  • Microsoft Power BI Reviews & Ratings
    8 Ratings
    Company Website
  • ManageEngine Log360 Reviews & Ratings
    168 Ratings
    Company Website
  • DbVisualizer Reviews & Ratings
    565 Ratings
    Company Website
  • Harmoni Reviews & Ratings
    16 Ratings
    Company Website

What is Seeq?

Seeq stands out as the pioneering application dedicated to the analysis of process data. It allows users to search their datasets, enrich them with context, model and cleanse the information, identify patterns, set boundaries, and work together in real-time with time series data. Regardless of your operational data system or process historian—be it OSIsoft®, PI System®, Honeywell’s Uniformance®, Emerson DeltaV and Ovation, or Inductive Automation's Ignition—Seeq can seamlessly connect and begin functioning within minutes. While the current discussions around predictive analytics, machine learning, and data science are prevalent, they often overlook the pressing issues that analytics-focused organizations encounter. Moreover, leveraging the expertise of your existing workforce is essential. Promoting collaboration and capturing knowledge are vital components for enhancing the sharing and effective reuse of analytical efforts. Furthermore, the capability to swiftly disseminate insights to those who need them can significantly drive improvements in outcomes and decision-making processes.

What is Aspen Mtell?

Recognizing patterns in operational data is essential for anticipating deterioration and potential malfunctions well in advance. By implementing precise failure pattern identification, organizations can significantly reduce the occurrence of false positives that are often problematic in model-based methodologies. The use of advanced machine learning approaches enables a rapid differentiation between typical and atypical behaviors, which can lead to the activation of equipment protection measures within weeks rather than months. Additionally, the collaboration between Aspen Mtell and Aspen Cloud Connectâ„¢ allows for seamless access to devices operating under OPC UA, further enhancing analytical capabilities. This integration serves as a crucial line of defense against asset degradation by identifying early indicators of failure through operational data analysis. Moreover, incorporating AI-driven agent development improves current maintenance practices, enabling swift deployment of autonomous agents across multiple locations or even throughout an entire organization. With the focus on accurate failure pattern detection, businesses can greatly minimize the frequency of false positives often seen in conventional model-based approaches. By utilizing streamlined machine learning techniques, companies can quickly identify and respond to both standard and irregular activities, ensuring robust protection for their equipment and optimizing operational efficiency. This proactive approach ultimately fosters resilience and reliability in asset management strategies.

Media

Media

Integrations Supported

APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
PARCview
Proficy Smart Factory MES
SAP Store
Telegraf
Visual KPI
dataPARC Historian

Integrations Supported

APERIO DataWise
AVEVA MES
AVEVA PI System
Amazon Timestream
Aspen InfoPlus
Azure Marketplace
Emerson DeltaV
Emerson Ovation
Honeywell Uniformance
Ignition SCADA
PARCview
Proficy Smart Factory MES
SAP Store
Telegraf
Visual KPI
dataPARC Historian

API Availability

Has API

API Availability

Has API

Pricing Information

$1000.00/year/user
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Seeq Corporation

Date Founded

2013

Company Location

United States

Company Website

www.seeq.com

Company Facts

Organization Name

Aspen Technology

Date Founded

1981

Company Location

United States

Company Website

www.aspentech.com/en/products/apm/aspen-mtell

Categories and Features

Data Analysis

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Categories and Features

Preventive Maintenance

Condition Monitoring
Inspection Management
Maintenance Scheduling
Mobile Access
Predictive Maintenance
Purchasing
Reminders
To-Do List
Vendor Management
Work Order Management

Popular Alternatives

OPUS Reviews & Ratings

OPUS

VROC

Popular Alternatives

PARCview Reviews & Ratings

PARCview

dataPARC